Observational evidence points to a red supergiant (RSG) progenitor for SN 2023ixf. The
progenitor candidate has been detected in archival images at wavelengths (≥ 0.6 μm) …

The sky at MeV energies is currently poorly explored. Here we present an innovative
mission concept that builds upon the heritage of past and current missions improving the …

The immediate vicinity of an active supermassive black hole—with its event horizon, photon
ring, accretion disk and relativistic jets—is an appropriate place to study physics under …

Context. Self-calibration methods with the CLEAN algorithm have been widely employed in
very long baseline interferometry (VLBI) data processing in order to correct antenna-based …

Efficiently accessing the information contained in non-linear and high dimensional
probability distributions remains a core challenge in modern statistics. Traditionally …

Context. The spatial distribution of the gaseous components of the Milky Way is of great
importance for a number of different fields, for example, Galactic structure, star formation …

Solving Bayesian inference problems approximately with variational approaches can
provide fast and accurate results. Capturing correlation within the approximation requires an …

Information field theory (IFT), the information theory for fields, is a mathematical framework
for signal reconstruction and non-parametric inverse problems. Artificial intelligence (AI) and …

Particle showers in dielectric media produce radio signals which are used for the detection
of both ultra-high energy cosmic rays and neutrinos with energies above a few PeV. The …

Imaging is the process of transforming noisy, incomplete data into a space that humans can
interpret. NIFTy is a Bayesian framework for imaging and has already successfully been …